Pandas Profiling Report

Dataset statistics

Number of variables	15
Number of observations	2161
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	253.4 KiB
Average record size in memory	120.1 B

Variable types

Numeric	11
Categorical	4

Alerts

`時間(min)` is highly correlated with `轉速(rpm)` and 13 other fields	High correlation
`轉速(rpm)` is highly correlated with `時間(min)` and 13 other fields	High correlation
`T1` is highly correlated with `時間(min)` and 13 other fields	High correlation
`T3` is highly correlated with `時間(min)` and 12 other fields	High correlation
`T4` is highly correlated with `時間(min)` and 13 other fields	High correlation
`T7` is highly correlated with `時間(min)` and 13 other fields	High correlation
`T9` is highly correlated with `時間(min)` and 13 other fields	High correlation
`T10` is highly correlated with `時間(min)` and 13 other fields	High correlation
`T11` is highly correlated with `時間(min)` and 13 other fields	High correlation
`T12` is highly correlated with `時間(min)` and 13 other fields	High correlation
`Z` is highly correlated with `時間(min)` and 13 other fields	High correlation
`T2` is highly correlated with `時間(min)` and 12 other fields	High correlation
`T5` is highly correlated with `時間(min)` and 12 other fields	High correlation
`T8` is highly correlated with `時間(min)` and 12 other fields	High correlation
`T6` is highly correlated with `時間(min)` and 9 other fields	High correlation
`時間(min)` is uniformly distributed	Uniform
`時間(min)` has unique values	Unique
`轉速(rpm)` has 583 (27.0%) zeros	Zeros

Reproduction

Analysis started	2022-11-11 03:25:16.375859
Analysis finished	2022-11-11 03:25:24.381704
Duration	8.01 seconds
Software version	pandas-profiling v3.4.0
Download configuration	config.json

時間(min)
Real number (ℝ)

HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	2161
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	89.99666667

Minimum	-0.003333333333
Maximum	179.9966667
Zeros	0
Zeros (%)	0.0%
Negative	1
Negative (%)	< 0.1%
Memory size	17.0 KiB

Quantile statistics

Minimum	-0.003333333333
5-th percentile	8.996666667
Q1	44.99666667
median	89.99666667
Q3	134.9966667
95-th percentile	170.9966667
Maximum	179.9966667
Range	180
Interquartile range (IQR)	90

Descriptive statistics

Standard deviation	51.99760723
Coefficient of variation (CV)	0.5777725904
Kurtosis	-1.2
Mean	89.99666667
Median Absolute Deviation (MAD)	45
Skewness	-1.964619272 × 10^-16
Sum	194482.7967
Variance	2703.751157
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-0.003333333333	1	< 0.1%
119.6633333	1	< 0.1%
120.83	1	< 0.1%
120.7466667	1	< 0.1%
120.6633333	1	< 0.1%
120.58	1	< 0.1%
120.4966667	1	< 0.1%
120.4133333	1	< 0.1%
120.33	1	< 0.1%
120.2466667	1	< 0.1%
Other values (2151)	2151	99.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-0.003333333333	1	< 0.1%
0.08	1	< 0.1%
0.1633333333	1	< 0.1%
0.2466666667	1	< 0.1%
0.33	1	< 0.1%
0.4133333333	1	< 0.1%
0.4966666667	1	< 0.1%
0.58	1	< 0.1%
0.6633333333	1	< 0.1%
0.7466666667	1	< 0.1%

Value	Count	Frequency (%)
179.9966667	1	< 0.1%
179.9133333	1	< 0.1%
179.83	1	< 0.1%
179.7466667	1	< 0.1%
179.6633333	1	< 0.1%
179.58	1	< 0.1%
179.4966667	1	< 0.1%
179.4133333	1	< 0.1%
179.33	1	< 0.1%
179.2466667	1	< 0.1%

轉速(rpm)
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	14
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10236.92735

Minimum	0
Maximum	20000
Zeros	583
Zeros (%)	27.0%
Negative	0
Negative (%)	0.0%
Memory size	17.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	12000
Q3	16000
95-th percentile	20000
Maximum	20000
Range	20000
Interquartile range (IQR)	16000

Descriptive statistics

Standard deviation	6995.921206
Coefficient of variation (CV)	0.6834004939
Kurtosis	-1.228557519
Mean	10236.92735
Median Absolute Deviation (MAD)	4000
Skewness	-0.3929189446
Sum	22122000
Variance	48942913.52
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
0	583	27.0%
11000	122	5.6%
12000	122	5.6%
13000	122	5.6%
15000	122	5.6%
16000	122	5.6%
17000	122	5.6%
18000	122	5.6%
19000	122	5.6%
20000	122	5.6%
Other values (4)	480	22.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	583	27.0%
8000	120	5.6%
9000	120	5.6%
10000	120	5.6%
11000	122	5.6%
12000	122	5.6%
13000	122	5.6%
14000	120	5.6%
15000	122	5.6%
16000	122	5.6%

Value	Count	Frequency (%)
20000	122	5.6%
19000	122	5.6%
18000	122	5.6%
17000	122	5.6%
16000	122	5.6%
15000	122	5.6%
14000	120	5.6%
13000	122	5.6%
12000	122	5.6%
11000	122	5.6%

T1
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	28
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	25.45941694

Minimum	24.3
Maximum	27
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.0 KiB

Quantile statistics

Minimum	24.3
5-th percentile	24.5
Q1	24.9
median	25.4
Q3	26
95-th percentile	26.7
Maximum	27
Range	2.7
Interquartile range (IQR)	1.1

Descriptive statistics

Standard deviation	0.6794370169
Coefficient of variation (CV)	0.02668706116
Kurtosis	-0.8238529971
Mean	25.45941694
Median Absolute Deviation (MAD)	0.5
Skewness	0.4101336566
Sum	55017.8
Variance	0.4616346599
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
24.9	167	7.7%
24.8	146	6.8%
25.5	132	6.1%
25.3	131	6.1%
24.7	127	5.9%
25.7	125	5.8%
25.1	112	5.2%
24.6	105	4.9%
26.2	105	4.9%
25.4	90	4.2%
Other values (18)	921	42.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
24.3	19	0.9%
24.4	39	1.8%
24.5	58	2.7%
24.6	105	4.9%
24.7	127	5.9%
24.8	146	6.8%
24.9	167	7.7%
25	78	3.6%
25.1	112	5.2%
25.2	76	3.5%

Value	Count	Frequency (%)
27	3	0.1%
26.9	67	3.1%
26.8	10	0.5%
26.7	48	2.2%
26.6	59	2.7%
26.5	53	2.5%
26.4	50	2.3%
26.3	32	1.5%
26.2	105	4.9%
26.1	55	2.5%

T2
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	17.0 KiB

24.4	996
24.3	678
24.6	236
24.5	147
24.7	104

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	8644
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	24.3
2nd row	24.3
3rd row	24.3
4th row	24.3
5th row	24.3

Common Values

Value	Count	Frequency (%)
24.4	996	46.1%
24.3	678	31.4%
24.6	236	10.9%
24.5	147	6.8%
24.7	104	4.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
24.4	996	46.1%
24.3	678	31.4%
24.6	236	10.9%
24.5	147	6.8%
24.7	104	4.8%

Most occurring characters

Value	Count	Frequency (%)
4	3157	36.5%
2	2161	25.0%
.	2161	25.0%
3	678	7.8%
6	236	2.7%
5	147	1.7%
7	104	1.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	6483	75.0%
Other Punctuation	2161	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	3157	48.7%
2	2161	33.3%
3	678	10.5%
6	236	3.6%
5	147	2.3%
7	104	1.6%

Other Punctuation

Value	Count	Frequency (%)
.	2161	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	8644	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
4	3157	36.5%
2	2161	25.0%
.	2161	25.0%
3	678	7.8%
6	236	2.7%
5	147	1.7%
7	104	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8644	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
4	3157	36.5%
2	2161	25.0%
.	2161	25.0%
3	678	7.8%
6	236	2.7%
5	147	1.7%
7	104	1.2%

T3
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	7
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	24.34183248

Minimum	24.1
Maximum	24.7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.0 KiB

Quantile statistics

Minimum	24.1
5-th percentile	24.2
Q1	24.3
median	24.3
Q3	24.4
95-th percentile	24.6
Maximum	24.7
Range	0.6
Interquartile range (IQR)	0.1

Descriptive statistics

Standard deviation	0.1199504978
Coefficient of variation (CV)	0.004927751347
Kurtosis	0.4639104883
Mean	24.34183248
Median Absolute Deviation (MAD)	0
Skewness	1.103946131
Sum	52602.7
Variance	0.01438812193
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
24.3	1272	58.9%
24.2	291	13.5%
24.6	259	12.0%
24.4	196	9.1%
24.5	115	5.3%
24.1	20	0.9%
24.7	8	0.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
24.1	20	0.9%
24.2	291	13.5%
24.3	1272	58.9%
24.4	196	9.1%
24.5	115	5.3%
24.6	259	12.0%
24.7	8	0.4%

Value	Count	Frequency (%)
24.7	8	0.4%
24.6	259	12.0%
24.5	115	5.3%
24.4	196	9.1%
24.3	1272	58.9%
24.2	291	13.5%
24.1	20	0.9%

T4
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	9
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	24.92100879

Minimum	24.6
Maximum	25.4
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.0 KiB

Quantile statistics

Minimum	24.6
5-th percentile	24.6
Q1	24.7
median	24.9
Q3	25.1
95-th percentile	25.3
Maximum	25.4
Range	0.8
Interquartile range (IQR)	0.4

Descriptive statistics

Standard deviation	0.2254277835
Coefficient of variation (CV)	0.009045692547
Kurtosis	-1.171693658
Mean	24.92100879
Median Absolute Deviation (MAD)	0.2
Skewness	0.1338026629
Sum	53854.3
Variance	0.05081768557
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
25.1	322	14.9%
24.6	317	14.7%
24.7	316	14.6%
24.8	289	13.4%
25.2	276	12.8%
24.9	270	12.5%
25	219	10.1%
25.3	125	5.8%
25.4	27	1.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
24.6	317	14.7%
24.7	316	14.6%
24.8	289	13.4%
24.9	270	12.5%
25	219	10.1%
25.1	322	14.9%
25.2	276	12.8%
25.3	125	5.8%
25.4	27	1.2%

Value	Count	Frequency (%)
25.4	27	1.2%
25.3	125	5.8%
25.2	276	12.8%
25.1	322	14.9%
25	219	10.1%
24.9	270	12.5%
24.8	289	13.4%
24.7	316	14.6%
24.6	317	14.7%

T5
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.0 KiB

25.0	905
25.1	729
25.2	527

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	8644
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	25.1
2nd row	25.1
3rd row	25.1
4th row	25.1
5th row	25.1

Common Values

Value	Count	Frequency (%)
25.0	905	41.9%
25.1	729	33.7%
25.2	527	24.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
25.0	905	41.9%
25.1	729	33.7%
25.2	527	24.4%

Most occurring characters

Value	Count	Frequency (%)
2	2688	31.1%
5	2161	25.0%
.	2161	25.0%
0	905	10.5%
1	729	8.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	6483	75.0%
Other Punctuation	2161	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	2688	41.5%
5	2161	33.3%
0	905	14.0%
1	729	11.2%

Other Punctuation

Value	Count	Frequency (%)
.	2161	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	8644	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	2688	31.1%
5	2161	25.0%
.	2161	25.0%
0	905	10.5%
1	729	8.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8644	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	2688	31.1%
5	2161	25.0%
.	2161	25.0%
0	905	10.5%
1	729	8.4%

T6
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.0 KiB

25.5	1093
25.4	1063
25.6	5

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	8644
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	25.5
2nd row	25.5
3rd row	25.5
4th row	25.5
5th row	25.5

Common Values

Value	Count	Frequency (%)
25.5	1093	50.6%
25.4	1063	49.2%
25.6	5	0.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
25.5	1093	50.6%
25.4	1063	49.2%
25.6	5	0.2%

Most occurring characters

Value	Count	Frequency (%)
5	3254	37.6%
2	2161	25.0%
.	2161	25.0%
4	1063	12.3%
6	5	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	6483	75.0%
Other Punctuation	2161	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
5	3254	50.2%
2	2161	33.3%
4	1063	16.4%
6	5	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	2161	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	8644	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
5	3254	37.6%
2	2161	25.0%
.	2161	25.0%
4	1063	12.3%
6	5	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8644	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
5	3254	37.6%
2	2161	25.0%
.	2161	25.0%
4	1063	12.3%
6	5	0.1%

T7
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	6
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	24.25677927

Minimum	24.1
Maximum	24.6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.0 KiB

Quantile statistics

Minimum	24.1
5-th percentile	24.1
Q1	24.2
median	24.2
Q3	24.3
95-th percentile	24.6
Maximum	24.6
Range	0.5
Interquartile range (IQR)	0.1

Descriptive statistics

Standard deviation	0.1233468155
Coefficient of variation (CV)	0.005085045058
Kurtosis	1.732942192
Mean	24.25677927
Median Absolute Deviation (MAD)	0
Skewness	1.50317555
Sum	52418.9
Variance	0.0152144369
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
24.2	1229	56.9%
24.3	402	18.6%
24.1	197	9.1%
24.6	136	6.3%
24.4	113	5.2%
24.5	84	3.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
24.1	197	9.1%
24.2	1229	56.9%
24.3	402	18.6%
24.4	113	5.2%
24.5	84	3.9%
24.6	136	6.3%

Value	Count	Frequency (%)
24.6	136	6.3%
24.5	84	3.9%
24.4	113	5.2%
24.3	402	18.6%
24.2	1229	56.9%
24.1	197	9.1%

T8
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	17.0 KiB

24.5	681
24.4	653
24.3	458
24.6	357
24.7	12

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	8644
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	24.3
2nd row	24.3
3rd row	24.3
4th row	24.3
5th row	24.3

Common Values

Value	Count	Frequency (%)
24.5	681	31.5%
24.4	653	30.2%
24.3	458	21.2%
24.6	357	16.5%
24.7	12	0.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
24.5	681	31.5%
24.4	653	30.2%
24.3	458	21.2%
24.6	357	16.5%
24.7	12	0.6%

Most occurring characters

Value	Count	Frequency (%)
4	2814	32.6%
2	2161	25.0%
.	2161	25.0%
5	681	7.9%
3	458	5.3%
6	357	4.1%
7	12	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	6483	75.0%
Other Punctuation	2161	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	2814	43.4%
2	2161	33.3%
5	681	10.5%
3	458	7.1%
6	357	5.5%
7	12	0.2%

Other Punctuation

Value	Count	Frequency (%)
.	2161	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	8644	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
4	2814	32.6%
2	2161	25.0%
.	2161	25.0%
5	681	7.9%
3	458	5.3%
6	357	4.1%
7	12	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8644	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
4	2814	32.6%
2	2161	25.0%
.	2161	25.0%
5	681	7.9%
3	458	5.3%
6	357	4.1%
7	12	0.1%

T9
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	9
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.62434058

Minimum	23.2
Maximum	24
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.0 KiB

Quantile statistics

Minimum	23.2
5-th percentile	23.2
Q1	23.5
median	23.6
Q3	23.8
95-th percentile	23.9
Maximum	24
Range	0.8
Interquartile range (IQR)	0.3

Descriptive statistics

Standard deviation	0.2266908538
Coefficient of variation (CV)	0.009595647888
Kurtosis	-0.8089366472
Mean	23.62434058
Median Absolute Deviation (MAD)	0.2
Skewness	-0.4877042061
Sum	51052.2
Variance	0.05138874321
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
23.6	523	24.2%
23.9	478	22.1%
23.7	377	17.4%
23.2	215	9.9%
23.8	187	8.7%
23.3	183	8.5%
23.4	112	5.2%
23.5	74	3.4%
24	12	0.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
23.2	215	9.9%
23.3	183	8.5%
23.4	112	5.2%
23.5	74	3.4%
23.6	523	24.2%
23.7	377	17.4%
23.8	187	8.7%
23.9	478	22.1%
24	12	0.6%

Value	Count	Frequency (%)
24	12	0.6%
23.9	478	22.1%
23.8	187	8.7%
23.7	377	17.4%
23.6	523	24.2%
23.5	74	3.4%
23.4	112	5.2%
23.3	183	8.5%
23.2	215	9.9%

T10
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	9
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	24.48611754

Minimum	24
Maximum	24.8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.0 KiB

Quantile statistics

Minimum	24
5-th percentile	24.1
Q1	24.4
median	24.5
Q3	24.7
95-th percentile	24.8
Maximum	24.8
Range	0.8
Interquartile range (IQR)	0.3

Descriptive statistics

Standard deviation	0.2316242229
Coefficient of variation (CV)	0.009459409909
Kurtosis	-0.7238165699
Mean	24.48611754
Median Absolute Deviation (MAD)	0.2
Skewness	-0.5212434701
Sum	52914.5
Variance	0.05364978062
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
24.5	637	29.5%
24.8	308	14.3%
24.1	299	13.8%
24.6	299	13.8%
24.7	264	12.2%
24.4	113	5.2%
24.3	95	4.4%
24.2	89	4.1%
24	57	2.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
24	57	2.6%
24.1	299	13.8%
24.2	89	4.1%
24.3	95	4.4%
24.4	113	5.2%
24.5	637	29.5%
24.6	299	13.8%
24.7	264	12.2%
24.8	308	14.3%

Value	Count	Frequency (%)
24.8	308	14.3%
24.7	264	12.2%
24.6	299	13.8%
24.5	637	29.5%
24.4	113	5.2%
24.3	95	4.4%
24.2	89	4.1%
24.1	299	13.8%
24	57	2.6%

T11
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	15
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	24.24127719

Minimum	23.4
Maximum	24.8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.0 KiB

Quantile statistics

Minimum	23.4
5-th percentile	23.5
Q1	24.1
median	24.3
Q3	24.5
95-th percentile	24.8
Maximum	24.8
Range	1.4
Interquartile range (IQR)	0.4

Descriptive statistics

Standard deviation	0.3993618028
Coefficient of variation (CV)	0.01647445387
Kurtosis	-0.7179529041
Mean	24.24127719
Median Absolute Deviation (MAD)	0.2
Skewness	-0.4454478236
Sum	52385.4
Variance	0.1594898495
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
24.3	342	15.8%
24.4	271	12.5%
24.8	267	12.4%
24.1	227	10.5%
24.2	214	9.9%
23.6	185	8.6%
24.7	172	8.0%
23.5	147	6.8%
24.6	94	4.3%
24.5	73	3.4%
Other values (5)	169	7.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
23.4	15	0.7%
23.5	147	6.8%
23.6	185	8.6%
23.7	53	2.5%
23.8	30	1.4%
23.9	36	1.7%
24	35	1.6%
24.1	227	10.5%
24.2	214	9.9%
24.3	342	15.8%

Value	Count	Frequency (%)
24.8	267	12.4%
24.7	172	8.0%
24.6	94	4.3%
24.5	73	3.4%
24.4	271	12.5%
24.3	342	15.8%
24.2	214	9.9%
24.1	227	10.5%
24	35	1.6%
23.9	36	1.7%

T12
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	10
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.39551134

Minimum	22.9
Maximum	23.8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.0 KiB

Quantile statistics

Minimum	22.9
5-th percentile	23
Q1	23.3
median	23.4
Q3	23.6
95-th percentile	23.7
Maximum	23.8
Range	0.9
Interquartile range (IQR)	0.3

Descriptive statistics

Standard deviation	0.2430196418
Coefficient of variation (CV)	0.01038744733
Kurtosis	-0.7011347725
Mean	23.39551134
Median Absolute Deviation (MAD)	0.2
Skewness	-0.521463071
Sum	50557.7
Variance	0.05905854628
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
23.4	691	32.0%
23.7	403	18.6%
23	292	13.5%
23.5	287	13.3%
23.6	169	7.8%
22.9	84	3.9%
23.1	75	3.5%
23.2	73	3.4%
23.3	64	3.0%
23.8	23	1.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
22.9	84	3.9%
23	292	13.5%
23.1	75	3.5%
23.2	73	3.4%
23.3	64	3.0%
23.4	691	32.0%
23.5	287	13.3%
23.6	169	7.8%
23.7	403	18.6%
23.8	23	1.1%

Value	Count	Frequency (%)
23.8	23	1.1%
23.7	403	18.6%
23.6	169	7.8%
23.5	287	13.3%
23.4	691	32.0%
23.3	64	3.0%
23.2	73	3.4%
23.1	75	3.5%
23	292	13.5%
22.9	84	3.9%

Z
Real number (ℝ)

HIGH CORRELATION

Distinct	187
Distinct (%)	8.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	37.31008792

Minimum	-0.3
Maximum	63.5
Zeros	1
Zeros (%)	< 0.1%
Negative	1
Negative (%)	< 0.1%
Memory size	17.0 KiB

Quantile statistics

Minimum	-0.3
5-th percentile	11.6
Q1	29.3
median	37
Q3	46.1
95-th percentile	59.3
Maximum	63.5
Range	63.8
Interquartile range (IQR)	16.8

Descriptive statistics

Standard deviation	13.42452358
Coefficient of variation (CV)	0.3598094866
Kurtosis	-0.4419742555
Mean	37.31008792
Median Absolute Deviation (MAD)	8.8
Skewness	-0.1931668584
Sum	80627.1
Variance	180.2178334
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
35.8	76	3.5%
32.7	63	2.9%
33	55	2.5%
36.1	53	2.5%
42.8	42	1.9%
37.9	36	1.7%
37.6	35	1.6%
43.1	35	1.6%
46.1	33	1.5%
38.8	32	1.5%
Other values (177)	1701	78.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-0.3	1	< 0.1%
0	1	< 0.1%
5.5	1	< 0.1%
5.8	3	0.1%
6.5	4	0.2%
6.8	6	0.3%
7.1	7	0.3%
7.4	2	0.1%
7.7	1	< 0.1%
8	8	0.4%

Value	Count	Frequency (%)
63.5	1	< 0.1%
63.2	1	< 0.1%
62.9	4	0.2%
62.6	1	< 0.1%
62.3	10	0.5%
62	19	0.9%
61.7	13	0.6%
61.4	3	0.1%
61.1	11	0.5%
60.8	4	0.2%

Auto

The auto setting is an easily interpretable pairwise column metric of the following mapping: vartype-vartype : method, categorical-categorical : Cramer's V, numerical-categorical : Cramer's V (using a discretized numerical column), numerical-numerical : Spearman's ρ. This configuration uses the best suitable for each pair of columns.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	時間(min)	轉速(rpm)	T1	T2	T3	T4	T5	T6	T7	T8	T9	T10	T11	T12	Z
0	-0.003333	0	24.3	24.3	24.3	24.6	25.1	25.5	24.3	24.3	23.2	24.0	23.6	22.9	0.0
1	0.080000	0	24.3	24.3	24.3	24.6	25.1	25.5	24.3	24.3	23.2	24.0	23.6	22.9	-0.3
2	0.163333	8000	24.3	24.3	24.3	24.6	25.1	25.5	24.3	24.3	23.2	24.0	23.6	22.9	5.5
3	0.246667	8000	24.3	24.3	24.3	24.6	25.1	25.5	24.3	24.3	23.2	24.0	23.6	22.9	6.5
4	0.330000	8000	24.3	24.3	24.3	24.6	25.1	25.5	24.3	24.3	23.2	24.0	23.6	22.9	5.8
5	0.413333	8000	24.3	24.3	24.3	24.6	25.1	25.6	24.3	24.3	23.2	24.0	23.6	22.9	5.8
6	0.496667	8000	24.3	24.3	24.3	24.6	25.1	25.6	24.3	24.3	23.2	24.0	23.6	22.9	5.8
7	0.580000	8000	24.3	24.3	24.3	24.6	25.1	25.6	24.3	24.3	23.2	24.0	23.6	22.9	7.1
8	0.663333	8000	24.3	24.3	24.3	24.6	25.1	25.6	24.3	24.3	23.2	24.0	23.6	22.9	7.4
9	0.746667	8000	24.3	24.3	24.3	24.6	25.1	25.6	24.3	24.3	23.2	24.0	23.6	22.9	7.1

Last rows

	時間(min)	T1	T2	T3	T4	T5	T6	T7	T8	T9	T10	T11	T12	Z
2151	179.246667	24.6	24.6	24.6	25.0	25.2	25.5	24.6	24.6	23.7	24.6	24.3	23.5	32.4
2152	179.330000	24.6	24.6	24.6	25.0	25.2	25.5	24.6	24.6	23.7	24.6	24.3	23.5	31.8
2153	179.413333	24.6	24.6	24.6	25.0	25.2	25.5	24.6	24.6	23.7	24.6	24.3	23.5	31.5
2154	179.496667	24.6	24.6	24.6	25.0	25.2	25.5	24.6	24.6	23.7	24.6	24.3	23.5	32.1
2155	179.580000	24.6	24.6	24.6	25.0	25.2	25.5	24.6	24.6	23.7	24.6	24.3	23.5	32.1
2156	179.663333	24.6	24.6	24.6	25.0	25.2	25.5	24.6	24.6	23.7	24.6	24.3	23.5	31.5
2157	179.746667	24.6	24.6	24.6	25.0	25.2	25.5	24.6	24.6	23.7	24.6	24.3	23.5	32.4
2158	179.830000	24.6	24.6	24.6	25.0	25.2	25.5	24.6	24.6	23.7	24.6	24.3	23.5	31.8
2159	179.913333	24.6	24.6	24.6	25.0	25.2	25.5	24.6	24.6	23.7	24.6	24.3	23.5	31.5
2160	179.996667	24.6	24.7	24.6	25.0	25.2	25.5	24.6	24.6	23.7	24.6	24.3	23.5	31.8

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Auto

Spearman's ρ

Pearson's r

Kendall's τ

Cramér's V (φc)

Phik (φk)

Missing values

Sample

First rows

Last rows